RE: [Classifier4j-devel] stuff

[Nick L. <nl...@es...>]

Yeah, I was just thinking that.

I was also trying to think of a better way to do it - the API isn't totally
clean here.

Nick

> -----Original Message-----
> From: Peter Leschev [mailto:pe...@le...]
> Sent: Tuesday, 17 February 2004 9:21 AM
> To: cla...@li...
> Subject: RE: [Classifier4j-devel] stuff
> Importance: Low
> 
> 
> 
>  It may be worth putting this typw of question down as a FAQ 
> item... It's been asked a few times..
> 
> On Wed, 18 Feb 2004 08:38:46 +1030, Nick Lothian wrote:
> > 
> > You need to train the classifier with both matches and non-matches.
> > 
> > Use the .addNonMatch(String) method to train the non-matches.
> > 
> > > -----Original Message-----
> > > From: karl wettin [mailto:we...@us...]
> > > Sent: Tuesday, 17 February 2004 2:16 AM
> > > To: cla...@li...
> > > Subject: [Classifier4j-devel] stuff
> > > Importance: Low
> > > 
> > > 
> > > 
> > > Not too much action here, I guess.
> > > 
> > > However, I tried to classify some text using the Bayesian 
> Classifier
> > > to guess language. All responses are 0.5, so I guess it's me doing
> > > something wrong.
> > > 
> > > The code looked something like this:
> > > 
> > > {
> > >      SimpleWordsDataSource wds_en = new SimpleWordsDataSource();
> > >      Enumerator enum = enumerateWords(englishText);
> > >      while (enum.hasNext())
> > >         wds_en.addMatch((String)enum.nextElement());
> > > 
> > >      SimpleWordsDataSource wds_sv = new SimpleWordsDataSource();
> > >      enum = enumerateWords(swedishText);
> > >      while (enum.hasNext())
> > >         wds_sv.addMatch((String)enum.nextElement());
> > > 
> > >      BayesianClassifier c_en = new BayesianClassifier(wds_en);
> > >      System.out.println(c_en.classify("hello, my name is 
> > > karl.")); // returns 0.5
> > >      
> > >      BayesianClassifier c_sv = new BayesianClassifier(wds_sv);
> > >      System.out.println(c_sv.classify("hello, my name is 
> > > karl.")); // returns 0.5
> > > }
> > > 
> > > 
> > > What do I do wrong?
> > > 
> > > 
> > > 
> > > -- 
> > > 
> > > karl
> > > 
> > > 
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